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AWQ: Activation-aware Weight Quantization for On-Device LLM Compression and Acceleration

Conference on Machine Learning and Systems, 2023
Large language models (LLMs) have transformed numerous AI applications. On-device LLM is becoming increasingly important: running LLMs locally on edge devices can reduce cloud computing costs and protect users' privacy.
Ji Lin   +9 more
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Quantization

IEEE Transactions on Information Theory, 1998
Summary: The history of the theory and practice of quantization dates to 1948, although similar ideas had appeared in the literature as long ago as 1898. The fundamental role of quantization in modulation and analog-to-digital conversion was first recognized during the early development of pulse-code modulation systems, especially in the 1948 paper of \
Robert M. Gray, David L. Neuhoff
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Quantized Consensus

2006 IEEE International Symposium on Information Theory, 2006
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Akshay Kashyap   +2 more
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